Open AccessExploring applications of Frozen Newton Method in the design of digital filter
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/241012021
Subject(s) - digital filter , taylor series , computer science , filter (signal processing) , jacobian matrix and determinant , window function , newton's method , filter design , algorithm , wavelet , prototype filter , newton's method in optimization , frequency response , iterative method , mathematics , local convergence , engineering , artificial intelligence , computer vision , nonlinear system , mathematical analysis , physics , quantum mechanics , electrical engineering
Digital filters are popularly used in digital signal processing. The design of these filters can be done using different methods of which the rectangular window method and Frequency sampling methods are commonly used. Filter design using wavelet coefficients also shows better response. In this paper, we explore the use of the Frozen Newton method in improving the response of the filter designed using these methods. This iterative computing is applied considering the Taylor series expansion of the function up to the first order term called the Jacobian